机器人 / 具身智能 - arXivDaily 专题

1711.01656 2017-11-07 cs.CV 70%

Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery

Mahdieh Poostchi

专题命中机器人数据与评测：navigation(abstract)；robotic(abstract)；分类 cs.CV

Comments PhD Dissertation (162 pages)

1710.02513 2017-10-09 cs.RO 70%

A New Data Source for Inverse Dynamics Learning

Daniel Kappler, Franziska Meier, Nathan Ratliff, Stefan Schaal

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.RO

Comments IROS 2017

1705.03550 2017-05-11 cs.CV cs.AI cs.LG cs.RO 70%

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, Davide Maltoni

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.CV

1702.08272 2017-03-07 cs.CV 70%

A Dataset for Developing and Benchmarking Active Vision

Phil Ammirato, Patrick Poirson, Eunbyung Park, Jana Kosecka, Alexander C. Berg

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.CV

Comments To appear at ICRA 2017

1701.00349 2017-01-03 cs.AI 70%

An affective computational model for machine consciousness

Rohitash Chandra

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.AI

Comments under review

1701.00019 2017-01-03 cs.RO 70%

Technical Report: Optimal Surveillance of Dynamic Parades using Teams of Aerial Robots

Kostas Alexis

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.RO

1611.05799 2016-11-18 cs.CV 70%

The Freiburg Groceries Dataset

Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.CV

Comments Link to dataset: http://www2.informatik.uni-freiburg.de/~eitel/freiburg_groceries_dataset.html Link to code: https://github.com/PhilJd/freiburg_groceries_dataset

1604.05091 2016-04-20 cs.LG cs.AI cs.CV cs.NE cs.RO 70%

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks

Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner

专题命中机器人数据与评测：robotics(abstract)；分类 cs.RO、cs.AI、cs.CV

1512.06922 2015-12-23 cs.RO 70%

Folding Deformable Objects using Predictive Simulation and Trajectory Optimization

Yinxiao Li, Yonghao Yue, Danfei Xu, Eitan Grinspun, Peter Allen

专题命中机器人数据与评测：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments 8 pages, 9 figures, Proceedings of IROS 2015

1110.0027 2011-10-05 cs.AI 70%

Anytime Point-Based Approximations for Large POMDPs

J. Pineau, G. Gordon, S. Thrun

专题命中机器人数据与评测：robotics(abstract)；robotic(abstract)；分类 cs.AI

Journal ref Journal Of Artificial Intelligence Research, Volume 27, pages 335-380, 2006

2604.24449 2026-06-12 cs.RO cs.AI cs.LG 69%

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

SPLIT：通过潜在算术分离物理接触以实现基于图像的触觉传感器

Wadhah Zai El Amri, Nicolás Navarro-Guerrero

机构 * Leibniz Universität Hannover, L3S Research Center（莱布尼茨汉诺威大学，L3S研究所）

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

AI总结本文提出SPLIT方法，通过潜在空间算术分离接触几何与传感器光学特性，实现触觉传感器的高效模拟，支持多传感器迁移和双向模拟，提升机器人触觉感知研究效率。

Comments Accepted to Elsevier Robotics and Autonomous Systems Journal

1806.04225 2026-06-04 cs.RO cs.AI cs.LG cs.SY eess.SY math.OC 69%

PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments

PAC-Bayes 控制：学习能够证明在新环境中泛化的能力的策略

Anirudha Majumdar, Alec Farid, Anoopkumar Sonar

机构 * Department of Mechanical and Aerospace Engineering（1,2 机械与航空航天工程系）； Department of Computer Science Princeton University（3 计算机科学系纽约大学普林斯顿分校）

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

AI总结本文提出了一种基于PAC-Bayes框架的机器人策略学习方法，通过在新环境中泛化能力的理论分析，为机器人系统提供强泛化保证。

Comments Extended version of paper presented at the 2018 Conference on Robot Learning (CoRL)

2505.19574 2026-04-02 cs.RO cs.AI cs.LG math.OC 69%

Situationally-Aware Dynamics Learning

情境感知动态学习

Alejandro Murillo-Gonzalez, Lantao Liu

机构 * Luddy School of Informatics, Computing, and Engineering, Indiana University（印第安纳大学卢迪信息学、计算与工程学院）

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(journal_ref)

AI总结本文提出了一种在线学习隐状态表示的框架，通过建模未观测参数对转移动态和奖励结构的影响，提升机器人在复杂环境中的适应性和安全性。

Journal ref The International Journal of Robotics Research (IJRR) 2026

2506.04867 2026-02-25 cs.AI cs.HC cs.LG cs.RO 69%

Sensory-Motor Control with Large Language Models via Iterative Policy Refinement

通过迭代策略优化实现大语言模型的感官-运动控制

Jônata Tyska Carvalho, Stefano Nolfi

机构 * Federal University of Santa Catarina (UFSC)（圣卡塔琳娜联邦大学）； Institute of Cognitive Sciences and Technologies (ISTC-CNR)（认知科学与技术研究所）

专题命中机器人数据与评测：embodied agent(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

AI总结本文提出通过迭代策略优化，利用大语言模型控制具身代理，结合符号知识与子符号感官运动数据实现高效控制。

Comments Final version of the article accepted for publication on Scientific Reports. 29 pages (13 pages are from appendix), 8 figures, 2 tables, code for experiments replication and supplementary material provided at https://github.com/jtyska/llm-robotics-article/

2510.22732 2025-12-23 cs.LG cs.AI cs.CL cs.IR cs.MA cs.RO 69%

WebATLAS: An LLM Agent with Experience-Driven Memory and Action Simulation

WebATLAS: 一种基于经验驱动记忆和动作模拟的LLM代理

Jiali Cheng, Anjishnu Kumar, Roshan Lal, Rishi Rajasekaran, Hani Ramezani, Omar Zia Khan, Oleg Rokhlenko, Sunny Chiu-Webster, Gang Hua, Hadi Amiri

机构 * University of Massachusetts Lowell（马萨诸塞大学洛威尔分校）； Amazon Alexa AI（亚马逊Alexa人工智能）

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG；world model(comments)

AI总结 WebATLAS通过经验驱动的记忆和前瞻动作模拟，实现无需微调的自主网页导航，成功率达63%。

Comments 9 pages, NeurIPS 2025 Workshop on Language Agents and World Models

2505.05592 2025-11-25 cs.RO cs.CV cs.LG cs.SY eess.SY 69%

Learning to Drive Anywhere with Model-Based Reannotation

基于模型的重新标注：学习在任何地方驾驶

Noriaki Hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Sergey Levine, Dhruv Shah

机构 * Department of Electrical Engineering and Computer Sciences , University of California, Berkeley, CA USA（电气工程与计算机科学系，加州大学伯克利分校）； Toyota Motor North America, Inc（丰田北美公司）； Department of Electrical and Computer Engineering, Princeton University（电气与计算机工程系，普林斯顿大学）

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(journal_ref)

AI总结本文提出基于模型的重新标注框架，利用被动数据训练出高效导航策略，实现机器人在复杂环境中的长距离稳健导航。

Comments 9 pages, 8 figures, 6 tables

Journal ref IEEE Robotics and Automation Letters 2025

2508.11503 2025-10-22 cs.RO cs.AI cs.LG 69%

Sim2Dust: Mastering Dynamic Waypoint Tracking on Granular Media

Andrej Orsula, Matthieu Geist, Miguel Olivares-Mendez, Carol Martinez

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments Accepted for publication at the 2025 International Conference on Space Robotics (iSpaRo) | The source code is available at https://github.com/AndrejOrsula/space_robotics_bench

2509.24124 2025-09-30 cs.RO cs.AI cs.LG 69%

Ancestry Tree Clustering for Particle Filter Diversity Maintenance

Ilari Vallivaara, Bingnan Duan, Yinhuan Dong, Tughrul Arslan

机构 * Visiting Research Fellow University of Edinburgh Edinburgh, UK（访问研究员爱丁堡大学英国爱丁堡）； School of Engineering University of Edinburgh Edinburgh, UK（工程学院爱丁堡大学英国爱丁堡）

专题命中机器人数据与评测：robotics(abstract)；分类 cs.RO、cs.AI、cs.LG；navigation(comments)

Comments 15th International Conference on Indoor Positioning and Indoor Navigation, 15-18 September 2025, Tampere, Finland Originally 8 pages. The online version with appendices is 14 pages

2507.13145 2025-07-18 cs.CV cs.AI cs.RO 69%

DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model

Maulana Bisyir Azhari, David Hyunchul Shim

机构 * School of Electrical Engineering, Korea Advanced Institute of Science and Technology（电气工程学院，韩国科学技术院）

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.CV

Comments 8 pages, 6 figures. Accepted for publication in IEEE Robotics and Automation Letters (RA-L), July 2025

2506.17823 2025-06-24 cs.RO cs.AI cs.LG 69%

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking

Kevin Chang, Rakesh Vivekanandan, Noah Pragin, Sean Bullock, Geoffrey Hollinger

机构 * Collaborative Robotics and Intelligent Systems (CoRIS) Institute（协作机器人与智能系统研究所）

专题命中机器人数据与评测：robotics(abstract,comments)；分类 cs.RO、cs.AI、cs.LG

Comments Advancing Quantitative and Qualitative Simulators for Marine Applications Workshop Paper at International Conference on Robotics and Automation 2025

2307.04726 2025-06-09 cs.LG cs.AI cs.NE cs.RO 69%

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning

Suzan Ece Ada, Erhan Oztop, Emre Ugur

机构 * Department of Computer Engineering, Bogazici University（计算机工程系，博雅大学）； SISReC, OTRI, Osaka University（SISReC、OTRI、大阪大学）； Department of Computer Science, Ozyegin University（计算机科学系，奥兹格伦大学）

专题命中机器人数据与评测：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(journal_ref)

Comments Published in IEEE RA-L with IROS presentation option (2024 IEEE/RSJ International Conference on Intelligent Robots and Systems), 8 pages, 7 figures

Journal ref IEEE Robotics and Automation Letters, Volume: 9, Issue: 4, 3116 - 3123 (April 2024)

2504.15425 2025-04-23 cs.RO cs.AI cs.LG cs.MA math.OC 69%

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL

Songyuan Zhang, Oswin So, Mitchell Black, Zachary Serlin, Chuchu Fan

机构 * MIT（麻省理工学院）； MIT Lincoln Laboratory（麻省理工学院林肯实验室）

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments 28 pages, 16 figures; Accepted by Robotics: Science and Systems 2025

2502.02067 2025-03-07 cs.RO cs.AI cs.CL cs.LG 69%

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement

Shivam Singh, Karthik Swaminathan, Nabanita Dash, Ramandeep Singh, Snehasis Banerjee, Mohan Sridharan, Madhava Krishna

专题命中机器人数据与评测：embodied agent(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2025

2403.03954 2024-09-30 cs.RO cs.CV cs.LG 69%

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

专题命中机器人数据与评测：robot learning(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments Published at Robotics: Science and Systems (RSS) 2024. Videos, code, and data: https://3d-diffusion-policy.github.io

2407.10639 2024-07-16 cs.RO cs.AI cs.CV 69%

Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis

Divya Thuremella, Lewis Ince, Lars Kunze

专题命中机器人数据与评测：robotics(abstract,journal_ref)；分类 cs.RO、cs.AI、cs.CV

Journal ref 2023 IEEE International Conference on Robotics and Automation (ICRA) 2023 IEEE International Conference on Robotics and Automation (ICRA) 2024 IEEE International Conference on Robotics and Automation (ICRA)

2406.01967 2024-06-05 cs.RO cs.AI cs.LG 69%

DrEureka: Language Model Guided Sim-To-Real Transfer

Yecheng Jason Ma, William Liang, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi Fan, Osbert Bastani, Dinesh Jayaraman

专题命中机器人数据与评测：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments Robotics: Science and Systems (RSS) 2024. Project website and open-source code: https://eureka-research.github.io/dr-eureka/

2404.06356 2024-04-10 cs.LG cs.AI cs.RO 69%

Policy-Guided Diffusion

Matthew Thomas Jackson, Michael Tryfan Matthews, Cong Lu, Benjamin Ellis, Shimon Whiteson, Jakob Foerster

专题命中机器人数据与评测：world model(abstract)；分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Previously at the NeurIPS 2023 Workshop on Robot Learning

2312.01811 2023-12-05 cs.LG cs.AI cs.GT cs.MA cs.RO 69%

Energy-based Potential Games for Joint Motion Forecasting and Control

Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Timo Osterburg, Torsten Bertram

专题命中机器人数据与评测：robotics(abstract)；分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Conference on Robot Learning, CoRL 2023

2306.15724 2023-10-18 cs.RO cs.AI cs.CL cs.CV 69%

REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

Zeyi Liu, Arpit Bahety, Shuran Song

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.CV；robot learning(comments)

Comments Conference on Robot Learning (CoRL) 2023; Project website: https://robot-reflect.github.io/

2011.00756 2023-02-01 cs.RO cs.AI cs.LG 69%

Observation Space Matters: Benchmark and Optimization Algorithm

Joanne Taery Kim, Sehoon Ha

专题命中机器人数据与评测：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(journal_ref)

Journal ref 2021 IEEE International Conference on Robotics and Automation (ICRA)

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